Use the following information to answer Q10-Q11. The researcher estinmated a nonlinear regression by adding the variable STORIES^2 (i.e., STORIES²). log (selling price) = bo + b̟ log (SFLA) + b,BEDS + b,BATHS + b,STORIES + b;STORIES + B6VACANT + b,Age +e Dependent Variable: LOG(SELLING PRICE) Method Least Squares Date: 08/03/21 Time: 16:58 Sample: 1 6660 IF YEAR=2001 Included observations: 1746 Variable Coefficient Std. Error t-Statistic Prob. C LOG(SFLA) BEDS BATHS STORIES STORIES 2 VACANT AGE 5.898568 0.925893 -0.069610 0.033590 -0.471502 0.149252 -0.037820 -0.004177 28.29477 34.60462 -7.313708 2.178491 -2.585392 2.504330 -3.356101 -15.78847 0.0000 0.0000 0.0000 0.0295 0.0098 0.0124 0.0008 0.0000 0.208468 0.026756 0.009518 0.015419 0.182371 0.059597 0.011269 0.000265 R-squared Adjusted R-squared S.É of regression Sum squared resid Loglikelihood F-statistic Prob(F-statistic) 0.709350 0.708179 0.201018 70.22965 327.7548 605.9567 0.000000 Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion Hannan-Quinn criter. Durbin-Watson stat 12.01860 0.372115 -0.366271 -0.34 1231 -0.357014 1.329441 Q10. Between equations (3) and (4), which model better fits the data? Explain. Q11. What is the number of stories associated with the minimum log(selling_price)? Give your answer up to the first decimal place +
Use the following information to answer Q10-Q11. The researcher estinmated a nonlinear regression by adding the variable STORIES^2 (i.e., STORIES²). log (selling price) = bo + b̟ log (SFLA) + b,BEDS + b,BATHS + b,STORIES + b;STORIES + B6VACANT + b,Age +e Dependent Variable: LOG(SELLING PRICE) Method Least Squares Date: 08/03/21 Time: 16:58 Sample: 1 6660 IF YEAR=2001 Included observations: 1746 Variable Coefficient Std. Error t-Statistic Prob. C LOG(SFLA) BEDS BATHS STORIES STORIES 2 VACANT AGE 5.898568 0.925893 -0.069610 0.033590 -0.471502 0.149252 -0.037820 -0.004177 28.29477 34.60462 -7.313708 2.178491 -2.585392 2.504330 -3.356101 -15.78847 0.0000 0.0000 0.0000 0.0295 0.0098 0.0124 0.0008 0.0000 0.208468 0.026756 0.009518 0.015419 0.182371 0.059597 0.011269 0.000265 R-squared Adjusted R-squared S.É of regression Sum squared resid Loglikelihood F-statistic Prob(F-statistic) 0.709350 0.708179 0.201018 70.22965 327.7548 605.9567 0.000000 Mean dependent var S.D. dependent var Akaike info criterion Schwarz criterion Hannan-Quinn criter. Durbin-Watson stat 12.01860 0.372115 -0.366271 -0.34 1231 -0.357014 1.329441 Q10. Between equations (3) and (4), which model better fits the data? Explain. Q11. What is the number of stories associated with the minimum log(selling_price)? Give your answer up to the first decimal place +
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Computer science
Transcribed Image Text:Use the following information to answer Q10-Q11.
The researcher estimated a nonlinear regression by adding the variable STORIES^2 (i.e.,
STORIES*).
log (selling price) = b, + b, log (SFLA) + b,BEDS + B3BATHS + b,STORIES +
B5STORIES² + b,VACANT + b,Age + e
Dependent Variable: LOG(SELLING PRICE)
Method Least Squares
Date: 08/03/21 Time: 16:58
Sample: 1 6660 IF YEAR=2001
Included observations: 1746
Variable
Coefficient
Std Error
t-Statistic
Prob.
C
0.208468
0.026756
LOG(SFLA)
BEDS
BATHS
STORIES
STORIES^2
VACANT
AGE
5.898568
0.925893
-0.069610
0.033590
-0.471502
0.149252
-0.037820
-0.004177
0.009518
0.015419
0.182371
0.059597
0.011269
0.000265
28.29477
34.60462
-7.313708
2.178491
-2.585392
2.504330
-3.356101
-15.78847
0.0000
0.0000
0.0000
0.0295
0.0098
0.0124
0.0008
0.0000
R-squared
Adjusted R-squared
S.É of regression
Sum squared resid
Loglikelihood
F-statistic
Prob(F-statistic)
0.709350
0.708179
0.201018
70.22965
327.7548
605.9567
0.000000
Mean dependent var
S.D. dependent var
Akaike info criterion
Schwarz criterion
Hannan-Quinn criter.
Durbin-Watson stat
12.01860
0.372115
-0.366271
-0.34 1231
-0.357014
1.329441
Q10. Between equations (3) and (4), which model better fits the data? Explain.
Q11. What is the number of stories associated with the minimum log(selling price)? Give
your answer up to the first decimal place
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